It's Not Such A Small World After All

The Daily Reckoning

London, England

Thursday, January 6, 2005

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*** The Dow gets the cold shoulder from us... when being a
"stopped clock" pays off... repulsive cheerfulness... 

*** How many economists does it take to screw in a light
bulb?... searching for new ways to steal entertainment... 

*** If garlic and holy water keeps away vampires, what
keeps away tax-collectors?... accidental honesty from
Rumsfeld... and more! 

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That's it. That's enough.

We're tired of this shilly-shallying... malingering... and
indecision. We've said the Dow is going down. It ought to
go down. It has no business doing anything other than going 
down. So, we're not going to pay any attention to it until
it does what it's supposed to do. Until then, it will get
the cold shoulder from us... 

Besides, we were included in an article in this week's
MoneyWeek in a group called, derisively, as the "Stopped
Clock Society." We're only right twice a day, says the
article. 

Well, we're such modest people. The thought of being right
twice a day sounds like more than enough. If we were right
even once a day, we would it a run of extraordinary good
luck. 

We've been saying the Dow would go down for the last five
years. Nor have we wavered in our opinion that the price of 
gold would go up. Generally, we have been right - stocks
have gone down; gold has gone up. Being a stopped clock has 
paid off. 

The big trends in markets tend to be long-lived. Interest
rate cycles last for 20 or 30 years. Bear markets in stocks 
tend to last for 15-20 years. You wouldn't have lost out by 
selling stocks in 1966, for example, and staying out of the 
market for the next 15 years. Nor could you have done much
better than buy stocks in 1982 - and hold for the next 18
years. Most likely, getting out of stocks in 2000 - and
staying out for at least a decade - will turn out to be a
shrewd move. 

But most analysts like to pretend that they can tell you
what will happen from month to month... week to week...
even day-to-day! Investors don't want to hear that they
should "sit tight." They don't want to wait, not when money 
is burning a hole in their pockets; they want to get rid of 
it as soon as possible. 

Investors did get rid of a little money yesterday. The Dow
went down. But not enough. The press, public, economists,
analysts and investors are still overwhelmingly bullish...
alarmingly complacent... and repulsively cheerful. We can
barely stand it.

The LA TIMES reveals, for example, that a poll of 62
economists put next years' growth rate at a healthy 3.6%.
Which raises a number of interesting questions - such as,
is a group of economists more likely to be right than a
single one? We'll get to these questions sooner or later... 
 

Today, we turn our suspicious eyes on the consensus view
itself. The experts, we are told, expect 2.22 million new
jobs in America next year. They even think that the average 
jobholder may make more next year than he did the last
(real incomes fell in 2004). The TIMES article on-line
gives us a single example of where these new jobs will
arise - in Texas, it turns out, where America's largest
mortgage lender, Countrywide, says it is adding 7,500 new
paid positions in the next six years.

That little detail brought a little chuckle here at the
Daily Reckoning headquarters. Apparently, the only new jobs 
the economy creates are sales clerks and mortgage brokers.
The latter help people borrow money. The former help them
spend it. But where does the money come from? For that, we
have to thank the long-suffering Asians. The Chinese, for
example, barely have indoor plumbing. But they save 40% of
what they earn; lending it out so that Americans can buy a
big, new McMansions.

Meanwhile, we've found out over the past couple of days
that last year set new records for junk bond issuance...
and corporate lending. Trillions of dollars changed hands
(much of it coming to rest in Wall Street's pockets). What
was all this money for? Do you see new factories springing
up in Detroit or Atlanta, dear reader? We hear that young
entrepreneurs are already designing successors to the iPod
and discovering new ways to steal music and films without
paying royalties. But where are the new industries that
these trillions of dollars of capital investment are said
to be spawning? Reading along, we find that the money will
not likely create a single new job. Instead, the loot was
mostly used for "mergers and acquisitions," which usually
have the effect of reducing employment, not increasing it.
M&A activity, as Kurt Richeb�cher has pointed out, is a
sign of late, degenerate capitalism; it is a way corporate
hustlers try to increase profits and generate huge
financing fees quickly - without actually investing in
long-term, productive projects. 

This kind of economic "growth" comes at a heavy price - to
be paid, eventually, with interest. People are only able to 
step up spending by going deeper into debt. When the bill
finally has to be paid, there will tears aplenty.

But who will pay? How? When?

As always... we can't wait to find out.

        

More news, from our team at The Rude Awakening:

--------------

Eric Fry, reporting from Wall Street... 

"Meanwhile, without the benefit of a single astrological
chart, Merrill Lynch's chief U.S. strategist, Richard
Bernstein, has reached a similarly bearish conclusion.
Bernstein, who makes his predictions based upon phenomenon
that occur right here on planet earth, believes rising
interest rates and waning corporate profits will hobble the 
stock market in 2005."

For the rest of this story, and for more market insights,
see today's issue of

The Rude Awakening
http://dailyreckoning.com/body_headline.cfm?id=4393

--------------

Bill Bonner, back in London:

*** "I get that question all the time," said colleague
Adrian Ash in the London office. "People want to know how
we can square one of the views they see in The Daily
Reckoning with one of the views in an ad... or in another
product we publish.

"I tell them that we don't claim to have 'the Truth.' We
don't even claim to make their lives easier by giving them
alternative views. In fact, what we do is to make their
lives harder - by giving them a range of ideas and
opinions. They've still got to do the hard work of figuring 
out which one is likely to be right. And if we do our job
right - their work is harder than ever, because they will
have a variety of very good ideas to choose from."

[Editor's Note: Would you like to work in London?
Interested in markets? Like to write? MoneyWeek magazine is 
launching a U.S. version. It needs a U.S. editor - someone
who can write and edit quickly, with a touch of Daily
Reckoning attitude (but not too much, warns editor, Merryn
Somerset-Webb). 

Interested? Send an email to Merryn at
[EMAIL PROTECTED]

*** A reader's letter:

Dear Folks at The Daily Reckoning. 

Today I took a look at my 2004 W2, for income and taxes for 
the past year. Each separate line item alone is enough to
make me mad, but when I added up the total I pay as a
citizen to live in this weird world, it came in at 34% of
my total income. I live in California, so the state income
tax is high, and it has it own little social programs. 1/3
of my workday goes to support THE EMPIRE. 8% of my income
goes directly to the social programs of Social Security,
Medical, and Cal SDI. I don't know how others feel, but the 
words that boil into my mind that describe my feelings
about this are: ROME, VAMPIRES, DRACULA, PARASITES,
LEACHES, BLOODWORMS, AND TICKS. And I think this has a good 
chance of getting worse with time. Garlic, holy water, and
the cross keep vampires away, but it is not that easy when
it comes to taxes. 

*** So much of what goes on in life is humbug, fraud or
poppycock, we keep saying. 

According to an article in yesterday's news, the average
person leaves college with $18,900 in student loans. We may 
not know much about women, but we know a lot about the cost 
of college. One son has graduated. A daughter is now in
college - with a year to go. Another son is putting in his
applications.

The average tuition at the schools to which Jules is
applying is about $40,000.

"Uh... it's $50,000 at Columbia Law School," said a friend
the other day. She's just begun her law school career.

Why does college cost so much? We don't know - but we have
a feeling it is a hustle. Most students would learn more
simply by reading a good list of books and discussing them
with a sharp tutor under a maple tree. If ten students got
together and hired a tutor - they might pay, what, $50,000
for a good person? That would put their tuition at $5,000
per year each - with one-tenth of a teacher all to
themselves.

But, of course, there would be no billion-dollar research
labs, no prestigious Nobel prize winners on the faculty, no 
football team, no fraternity parties, no sex on campus -
okay, forget it... who would want to learn anything under
those conditions!

*** "You go to war with the army you've got," said Donald
Rumsfeld, caught in a rare moment of accidental honesty.
"You do that because you don't usually choose the hour or
place of war; it's chosen for you by the attacker. You are
forced to defend yourself with the best army and best
equipment on hand at the moment. But this is a different
kind of war... in which the U.S. is doing the attacking...
and you can't even tell the U.S. Marines the straight
skinny. Instead, you have to fudge and scam them... show
compassion... show concern... hide the casualties... bring
the coffins in at night... take the costs off-budget... and 
try to remember why the hell you got into this war in the
first place."

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------------------------------------------------------
The Daily Reckoning PRESENTS: When is luck not really luck
at all?  Is anything in this world truly random?  Nassim
Nicholas Taleb examines these questions and more... Read
on... 

IT'S NOT SUCH A SMALL WORLD AFTER ALL
by Nassim Nicholas Taleb

You get an anonymous letter on January 2nd informing you
that the market will go up during the month. It proves to
be true, but you disregard it, owing to the well-known
January effect (stocks have gone up historically during
January). Then you receive another one on Feb 1st telling
you that the market will go down. Again, it proves to be
true. Then you get another letter on March 1st - same
story. By July you are intrigued by the prescience of the
anonymous person and you are asked to invest in a special
offshore fund. You pour all your savings into it. Two
months later, your money is gone. You go spill your tears
on your neighbor's shoulder and he tells you that he
remembers that he received two such mysterious letters. But 
the mailings stopped at the second letter. He recalls that
the first one was correct in its prediction, the other
incorrect. 
 
What happened? The trick is as follows. The con-operator
pulls 10,000 names out of a phone book. He mails a bullish
letter to one half of the sample, and a bearish one to the
other half. The following month he selects the names of the 
persons to whom he mailed the letter whose prediction
turned out to be right, that is, 5,000 names. The next
month he does the same with the remaining 2,500 names,
until the list narrows down to 500 people. Of these there
will be 200 victims. An investment in a few thousand
dollars worth of postage stamps will turn into several
million. 

It is not uncommon for someone watching a tennis game on
television to be bombarded by advertisements for funds that 
did (until that minute) outperform others by some
percentage over some period. But, again, why would anybody
advertise if he didn't happen to outperform the market?
There is a high probability of the investment coming to you 
if its success is caused entirely by randomness. This
phenomenon is what economists and insurance people call
adverse selection. Judging an investment that comes to you
requires more stringent standards than judging an
investment you seek, owing to such selection bias. For
example, by going to a cohort composed of 10,000 managers,
I have 2/100 chances of finding a spurious survivor. By
staying home and answering my doorbell, the chance of the
soliciting party being a spurious survivor is closer to
100%. 

The same logic that applies to the spurious survivor, also
applies to the skilled person who has the odds markedly
stacked in her favor, but who still ends up going to the
cemetery. This effect is the exact opposite to the
survivorship bias. Consider that all one needs is two bad
years in the investment industry to terminate a risk-taking 
career and that, even with great odds in one's favor, such
an outcome is very possible. What do people do to survive?
They maximize their odds of staying in the game by taking
black-swan risks; those that fare well most of the time,
but incur a risk of blowing up. 
 
The most intuitive way to describe the data mining problem
to a non-statistician is through what is called the
birthday paradox, though it is not really a paradox, simply 
a perceptional oddity. If you meet someone randomly, there
is a one in 365.25 chance of your sharing their birthday,
and a considerably smaller one of having the exact birthday 
of the same year. So, sharing the same birthday would be a
coincidental event that you would discuss at the dinner
table. Now let us look at a situation where there are 23
people in a room. What is the chance of there being two
people with the same birthday? About 50%. For we are not
specifying which people need to share a birthday, any pair
works. 

A similar misconception of probabilities arises from the
random encounters one may have with relatives or friends in 
highly unexpected places. "It's a small world!" is often
uttered with surprise. But these are not improbable
occurrences - the world is much larger than we think. It is 
just that we are not truly testing for the odds of having
an encounter with one specific person, in a specific
location at a specific time. Rather, we are simply testing
for any encounter, with any person we have ever met in the
past, and in any place we will visit during the period
concerned. The probability of the latter is considerably
higher, perhaps several thousand times the magnitude of the 
former. 
 
When the statistician looks at the data to test a given
relationship, say to ferret out the correlation between the 
occurrence of a given event, like a political announcement, 
and stock market volatility, odds are that the results can
be taken seriously. But when one throws the computer at
data, looking for just about any relationship, it is
certain that a spurious connection will emerge, such as the 
fate of the stock market being linked to the length of
women's skirts. And just like the birthday coincidences, it 
will amaze people. 

What is your probability of winning the New Jersey lottery
twice? One in 17 trillion. Yet it happened to Evelyn Adams, 
whom the reader might guess should feel particularly chosen 
by destiny. Using the method we developed above,
researchers Percy Diaconis and Frederick Mosteller
estimated at 30 to 1 the probability that someone,
somewhere, in a totally unspecified way, gets so lucky! 

Some people carry their data mining activities into
theology - after all, ancient Mediterraneans used to read
potent messages in the entrails of birds. Michael Drosnin
provides an interesting extension of data mining into
biblical exegesis in The Bible Code. Drosnin, a former
journalist (seemingly innocent of any training in
statistics), aided by the works of a "mathematician,"
helped "predict" the former Israeli Prime Minister Yitzhak
Rabin's assassination by deciphering a bible code. He
informed Rabin, who obviously did not take it too
seriously. The Bible Code finds statistical irregularities
in the Bible; these help predict some such events. Needless 
to say, the book sold well enough to warrant a sequel
predicting with hindsight even more such events. 

The same mechanism is behind the formation of conspiracy
theories. Like The Bible Code, they can seem perfect in
their logic and can cause otherwise intelligent people to
fall for them. I can create a conspiracy theory by
downloading hundreds of paintings from an artist or group
of artists and finding a constant among all those paintings 
(among the hundreds of thousand of traits). I would then
concoct a conspiratorial theory around a secret message
shared by these paintings. This is seemingly what the
author of the bestselling The Da Vinci Code did. 
 
My favorite time is spent in bookstores, where I aimlessly
move from book to book in an attempt to make a decision as
to whether to invest the time in reading it. My buying is
frequently made on impulse, based on superficial, but
suggestive clues. Frequently, I have nothing but a book
jacket as appendage to my decision making. Jackets often
contain praise by someone, famous or not, or excerpts from
a book review. Good praise by a famous and respected person 
or a well-known magazine would sway me into buying the
book. 

What is the problem? I tend to confuse a book review, which 
is supposed to be an assessment of the quality of the book, 
with the best book reviews, marred with the same
survivorship biases. I mistake the distribution of the
maximum of a variable with that of the variable itself. The 
publisher will never put on the jacket of the book anything 
but the best praise. Some authors go even a step beyond,
taking a tepid or even unfavorable book review and
selecting words in it that appear to praise the book. One
such example came from one Paul Wilmott (an English
financial mathematician of rare brilliance and irreverence) 
who managed to announce that I gave him his "first bad
review," yet used excerpts from it as praise on the book
jacket (we later became friends, which allowed me to
extract an endorsement from him for my book). 

The first time I was fooled by this bias was upon buying,
when I was 16, Manhattan Transfer, a book by John Dos
Passos, the American writer, based on praise on the jacket
by the French writer and "philosopher" Jean-Paul Sartre,
who claimed something to the effect that Dos Passos was the 
greatest writer of our time. This simple remark, possibly
blurted out in a state of intoxication or extreme
enthusiasm, caused Dos Passos to become required reading in 
European intellectual circles, as Sartre's remark was
mistaken for a consensus estimate of the quality of Dos
Passos rather than what it was, the best remark. (In spite
of such interest in his work, Dos Passos has reverted to
obscurity.)

I am frequently asked the question: When is it truly not
luck? There are professions in randomness for which
performance is low in luck: Like casinos, which manage to
tame randomness. In finance? Perhaps. All traders are not
speculative traders: There exists a segment called market
makers whose job is to derive, like bookmakers, or even
like store owners, an income against a transaction. If they 
speculate, their dependence on the risks of such
speculation remains too small compared to their overall
volume. They buy at a price and sell to the public at a
more favorable one, performing large numbers of
transactions. Such income provides them some insulation
from randomness. Such category includes floor traders on
the exchanges, bank traders who "trade against order flow," 
moneychangers in the souks of the Levant. The skills
involved are sometimes rare to find: Fast thinking,
alertness, a high level of energy, an ability to guess from 
the voice of the seller her level of nervousness; those who 
have them make a long career (that is, perhaps a decade).
They never make it big, as their income is constrained by
the number of customers, but they do well
probabilistically. They are, in a way, the dentists of the
profession. 

Regards,

Nassim Nicholas Taleb
for The Daily Reckoning

Editor's Note: Nassim Nicholas Taleb is an essayist
principally concerned with the problems of uncertainty and
knowledge. Taleb's interests lie at the intersection of
philosophy, mathematics, finance, literature and cognitive
science, but he has stayed extremely close to the ground,
thanks to an uninterrupted two-decade career as a
mathematical trader. Specializing in the risks of
unpredicted rare events ("black swans"), he held senior
trading positions in New York and London, before founding
Empirica LLC, a trading firm and risk research laboratory.
Fooled by Randomness has been published in 14 languages,
and the author's ideas on skeptical empiricism have been
covered by hundreds of articles around the world.

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